\begin{table}[tbh]
\scriptsize
\begin{center}
\caption{Sector-level model parameters}
\label{tab:cal_sectors}
\begin{tabular*}{4.25in}{l@{\extracolsep{\fill}}lccccc}
\toprule
\multicolumn{2}{c}{Sector} & $\theta_g$ & $f_{g0}$ & $f_{g1}$ & $\xi_{gH}$ & $\sigma_{gz}$\\
\midrule
1 & Food, beverage, tobacco & 3.09 & 0.14 & 0.12 & 3.34 & 0.91\\
2 & Textile, clothing, footwear & 3.17 & 0.20 & 0.13 & 2.57 & 1.02\\
3 & Wood and straw products & 2.79 & 0.26 & 0.17 & 3.71 & 1.03\\
4 & Paper, printing products & 3.43 & 0.19 & 0.16 & 3.46 & 1.08\\
5 & Energy products, chemicals & 2.99 & 0.27 & 0.20 & 4.56 & 1.17\\
6 & Rubber, plastic products & 3.16 & 0.18 & 0.12 & 3.40 & 0.99\\
7 & Non-metallic mineral products & 2.85 & 0.16 & 0.14 & 3.56 & 0.90\\
8 & Base metal manuf. & 3.04 & 0.13 & 0.15 & 4.60 & 0.99\\
9 & Calendered metal manuf. & 2.73 & 0.29 & 0.17 & 4.62 & 1.07\\
10 & Other machinery, equipment & 3.74 & 0.23 & 0.15 & 3.03 & 1.20\\
11 & Computer, electronic, optical & 3.18 & 0.46 & 0.20 & 4.81 & 1.35\\
12 & Electrical equipment manuf. & 3.27 & 0.30 & 0.16 & 3.86 & 1.20\\
13 & Vehicle manuf. & 3.06 & 0.20 & 0.15 & 4.81 & 1.07\\
14 & Furniture, other manuf. & 3.26 & 0.20 & 0.11 & 2.25 & 0.98\\
15 & Non-manufacturing & 2.97 & 0.22 & 0.16 & 4.04 & 1.07\\
\bottomrule
\end{tabular*}
\end{center}
\end{table}
